Functional Safety-based Smart Factory Message Queuing Telemetry Transport Communication System Development

Purpose: Reliability and safety-based message queuing telemetry transport (MQTT) communication applications and artificial intelligence (AI)-smart sensor development are considered in the smart factory to ensure competitiveness by minimizing risks in manufacturing, pre-failure diagnosis, and failure prediction prognostics and health management (PHM) technology. Methods: The algorithm was implemented to ensure that the MQTT Publisher software technology application conforms to the standard by applying it as a process design method in the smart factory. In the functional safety standard and reliability prediction methods, safety risk data were collected, analyzed, and verified as an evaluation procedure in the smart factory. Results: The performance of MQTT communication as well as the safety data collection and database (DB) storage functions were confirmed in the smart factory. The contents of the literature search were confirmed in relation to the evaluation of the reliability feature extraction factors and functional safety-related failure prognosis parameters of the AI-smart sensor, center control server, monitoring-related design, and development products to be used as the basis for reliability and safety in smart factories. Conclusion: The process of sensor input using Arduino, the transmission of measured values, and storage of collected data into a DB using the resistive temperature device was developed as a software algorithm and demonstrated in the smart factory using MQTT communication. According to a literature search related to priority-based MQTT, this partial application can be effectively used in small and medium-sized smart factories that require a real-time priority algorithm. It can be used as a price-competitive communication method.